macro_usa_house_price_index

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds a source URL, the date range, and the return type (pandas.DataFrame), but it does not go deeper into behavior like data granularity, adjustment, or potential HTTP failures. It does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but somewhat repetitive: the title, the first sentence, and the :return: line all state the same report name. The URL and :rtype: line are useful, but the redundancy makes it less crisp than it could be. It is not a long description, so it earns a near-average score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, so the description should describe return values. It states the return type is a pandas.DataFrame, but it does not mention columns, units, or the meaning of the data fields. The source URL provides a reference, but an agent would still be unclear about what exactly is in the returned DataFrame. The data range is given, which is helpful, but column details are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, and the schema coverage is 100% (empty schema). With zero parameters, the baseline is 4. The description does not need to clarify parameter semantics because none exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as fetching the US FHFA House Price Index monthly rate report, a specific economic indicator distinct from the many other macro_usa_* siblings. It provides the data range and a source URL, which adds specificity beyond the tool name. However, it does not use an explicit verb like 'fetch' or 'retrieve', relying on the noun '报告' to convey the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives such as macro_usa_spcs20 or other house-price-related tools. It merely states what the report contains and its data range. There is no mention of exclusions, prerequisites, or preferred contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.